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Profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis

BACKGROUND: Sexual wellbeing is a critical yet often overlooked aspect of overall wellbeing for women across cancer diagnoses. OBJECTIVE: We identified profiles of women cancer survivors by sexual and psychosocial outcomes and compared groups for differences in relevant outcomes and individual chara...

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Autores principales: Arthur, Elizabeth K., Menon, Usha, Reese, Jennifer Barsky, Browning, Kristine, Overcash, Janine, Rose, Karen, Wills, Celia E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491007/
https://www.ncbi.nlm.nih.gov/pubmed/36131276
http://dx.doi.org/10.1186/s12885-022-10093-6
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author Arthur, Elizabeth K.
Menon, Usha
Reese, Jennifer Barsky
Browning, Kristine
Overcash, Janine
Rose, Karen
Wills, Celia E.
author_facet Arthur, Elizabeth K.
Menon, Usha
Reese, Jennifer Barsky
Browning, Kristine
Overcash, Janine
Rose, Karen
Wills, Celia E.
author_sort Arthur, Elizabeth K.
collection PubMed
description BACKGROUND: Sexual wellbeing is a critical yet often overlooked aspect of overall wellbeing for women across cancer diagnoses. OBJECTIVE: We identified profiles of women cancer survivors by sexual and psychosocial outcomes and compared groups for differences in relevant outcomes and individual characteristics. METHODS: Partnered women treated for cancer (n = 226; M age = 51.1 (12.6); 54% breast cancer; 86% White) completed a cross-sectional survey assessing sexual and psychosocial wellbeing. K-means cluster analysis modeled subgroups (clusters) with similar response patterns on measures of sexual wellbeing (sexual function, distress, sexual communication, and self-efficacy for communication), psychosocial wellbeing (quality of life (QOL), anxiety and depressive symptoms), and time since treatment. ANOVAs with Tukey post-hoc analyses and chi-square analyses tested cluster mean differences. RESULTS: Three distinct clusters of women differed by levels of adjustment in sexual and psychosocial wellbeing: higher-adjustment (32.7%), intermediate (37.6%), and lower-adjustment (29.6%). Significant differences among the clusters were found for all outcomes, with largest effect sizes for sexual distress (η(2)(p) = 0.66), sexual communication (η(2)(p) = 0.51), sexual satisfaction (η(2)(p) = 0.44), and anxiety and self-efficacy for communication (η(2)(p) = 0.32). The intermediate adjustment group was characterized by lower adjustment on measures of sexual and relationship function, and better adjustment on measures of QOL and mood. CONCLUSIONS: Findings suggest that for women cancer survivors, measures of sexual and psychosocial wellbeing can model distinct profiles to inform targeted interventions to meet women’s needs. Evidence-based targeted interventions could lead to better sexual function, and ultimately to better QOL and overall wellbeing. IMPLICATIONS FOR PRACTICE: A stepped intervention approach to sexual health care for women with cancer, where content and format depend on degree of sexual and psychosocial adjustment after cancer, may be most appropriate. Interdisciplinary teams may address sexual, emotional, and relationship functioning.
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spelling pubmed-94910072022-09-22 Profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis Arthur, Elizabeth K. Menon, Usha Reese, Jennifer Barsky Browning, Kristine Overcash, Janine Rose, Karen Wills, Celia E. BMC Cancer Research BACKGROUND: Sexual wellbeing is a critical yet often overlooked aspect of overall wellbeing for women across cancer diagnoses. OBJECTIVE: We identified profiles of women cancer survivors by sexual and psychosocial outcomes and compared groups for differences in relevant outcomes and individual characteristics. METHODS: Partnered women treated for cancer (n = 226; M age = 51.1 (12.6); 54% breast cancer; 86% White) completed a cross-sectional survey assessing sexual and psychosocial wellbeing. K-means cluster analysis modeled subgroups (clusters) with similar response patterns on measures of sexual wellbeing (sexual function, distress, sexual communication, and self-efficacy for communication), psychosocial wellbeing (quality of life (QOL), anxiety and depressive symptoms), and time since treatment. ANOVAs with Tukey post-hoc analyses and chi-square analyses tested cluster mean differences. RESULTS: Three distinct clusters of women differed by levels of adjustment in sexual and psychosocial wellbeing: higher-adjustment (32.7%), intermediate (37.6%), and lower-adjustment (29.6%). Significant differences among the clusters were found for all outcomes, with largest effect sizes for sexual distress (η(2)(p) = 0.66), sexual communication (η(2)(p) = 0.51), sexual satisfaction (η(2)(p) = 0.44), and anxiety and self-efficacy for communication (η(2)(p) = 0.32). The intermediate adjustment group was characterized by lower adjustment on measures of sexual and relationship function, and better adjustment on measures of QOL and mood. CONCLUSIONS: Findings suggest that for women cancer survivors, measures of sexual and psychosocial wellbeing can model distinct profiles to inform targeted interventions to meet women’s needs. Evidence-based targeted interventions could lead to better sexual function, and ultimately to better QOL and overall wellbeing. IMPLICATIONS FOR PRACTICE: A stepped intervention approach to sexual health care for women with cancer, where content and format depend on degree of sexual and psychosocial adjustment after cancer, may be most appropriate. Interdisciplinary teams may address sexual, emotional, and relationship functioning. BioMed Central 2022-09-21 /pmc/articles/PMC9491007/ /pubmed/36131276 http://dx.doi.org/10.1186/s12885-022-10093-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Arthur, Elizabeth K.
Menon, Usha
Reese, Jennifer Barsky
Browning, Kristine
Overcash, Janine
Rose, Karen
Wills, Celia E.
Profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis
title Profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis
title_full Profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis
title_fullStr Profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis
title_full_unstemmed Profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis
title_short Profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis
title_sort profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491007/
https://www.ncbi.nlm.nih.gov/pubmed/36131276
http://dx.doi.org/10.1186/s12885-022-10093-6
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